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README.md

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 license: apache-2.0
+datasets:
+- datajuicer/redpajama-wiki-refined-by-data-juicer
+- datajuicer/redpajama-arxiv-refined-by-data-juicer
+- datajuicer/redpajama-c4-refined-by-data-juicer
+- datajuicer/redpajama-book-refined-by-data-juicer
+- datajuicer/redpajama-cc-2019-30-refined-by-data-juicer
+- datajuicer/redpajama-cc-2020-05-refined-by-data-juicer
+- datajuicer/redpajama-cc-2021-04-refined-by-data-juicer
+- datajuicer/redpajama-cc-2022-05-refined-by-data-juicer
+- datajuicer/redpajama-cc-2023-06-refined-by-data-juicer
+- datajuicer/redpajama-pile-stackexchange-refined-by-data-juicer
+- datajuicer/redpajama-stack-code-refined-by-data-juicer
+- datajuicer/the-pile-nih-refined-by-data-juicer
+- datajuicer/the-pile-europarl-refined-by-data-juicer
+- datajuicer/the-pile-philpaper-refined-by-data-juicer
+- datajuicer/the-pile-pubmed-abstracts-refined-by-data-juicer
+- datajuicer/the-pile-pubmed-central-refined-by-data-juicer
+- datajuicer/the-pile-freelaw-refined-by-data-juicer
+- datajuicer/the-pile-hackernews-refined-by-data-juicer
 ---
+
+This is a reference LLM from [Data-Juicer](https://github.com/alibaba/data-juicer).
+
+The model architecture is LLaMA-1.3B and we adopt the [OpenLLaMA](https://github.com/openlm-research/open_llama) implementation. 
+The model is pre-trained on 150B tokens of Data-Juicer's refined RedPajama and Pile.
+It achieves an average score of 34.21 over 16 HELM tasks, beating Falcon-1.3B (trained on 350B tokens from RefinedWeb), Pythia-1.4B (trained on 300B tokens from original Pile) and Open-LLaMA-1.3B (trained on 150B tokens from original RedPajama and Pile).
+
+For more details, please refer to our [paper](https://arxiv.org/abs/2309.02033).